Record 1 of 6
Author(s): Chen SJ; Carroll JD
Title: 3-D reconstruction of coronary arterial tree to optimize angiographic visualization
Source: IEEE TRANSACTIONS ON MEDICAL IMAGING 2000, Vol 19, Iss 4, pp 318-336
No. cited references: 56
ISSN/ISBN: 0278-0062
Publisher: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Addresses: Chen SJ, Univ Colorado, Hlth Sci Ctr, Dept Med, Div Cardiol, Denver, CO 80262 USA
Univ Colorado, Hlth Sci Ctr, Dept Med, Div Cardiol, Denver, CO 80262 USA
Author Keywords: angiography; catheterization; three-dimensional reconstruction; vasculature
KeywordsPlus: 3-DIMENSIONAL RECONSTRUCTION; BIPLANE ANGIOGRAMS; VASCULAR TREE; RIGID OBJECTS; MOTION; VIEWS; SYSTEM; SEGMENTATION; PROJECTIONS; ALGORITHMS
Abstract: Due to vessel overlap and foreshortening, multiple projections are necessary to adequately evaluate the coronary tree with arteriography, Catheter-based interventions can only be optimally performed when these visualization problems are successfully solved. The traditional method provides multiple selected views in which overlap and foreshortening are subjectively minimized based on two dimensional (2-D) projections. A pair of images acquired from routine angiographic study at arbitrary orientation using a single-plane imaging system were chosen far three-dimensional (3-D) reconstruction. After the arterial segment of interest (e.g., a single coronary stenosis or bifurcation lesion) was selected, a set of gantry angulations minimizing segment foreshortening was calculated. Multiple computer-generated projection images with minimized segment foreshortening were then used to choose views with minimal overlapped vessels relative to the segment of interest. The optimized views could then be utilized to guide subsequent angiographic acquisition and interpretation. Over 800 cases of coronary arterial trees have been reconstructed, in which more than 40 cases were performed in room during cardiac catheterization. The accuracy of 3-D length measurement was confirmed to be within an average root-mean-square (rms) 3.5% error using eight different pairs of angiograms of an intracoronary guidewire of 105-mm length with eight radiopaque markers of 15-mm interdistance. The accuracy of similarity between the additional computer-generated projections versus the actual acquired views was demonstrated with the average rms errors of 3.09 mm and 3.13 mm in 20 LCA and 20 RCA cases, respectively. The projections of the reconstructed patient-specific 3-D coronary tree model can be utilized for planning optimal clinical views: minimal overlap and foreshortening, The assessment of lesion length and diameter narrowing can be optimized in both interventional cases and studies of disease progression and regression.
Cited references: CARROLL JD-1996-CIRCULATION-V94-P1376
CARROLL JD-1998-J-AM-COLL-CARDIOL-A-V31-PA139
CHEN SY-1992-SPIE-P-OPTICAL-ENG-M-V1778-P14
CHEN SYJ-1997-CIRCULATION-V96-P1290
CHEN SYJ-1997-MED-PHYS-V24-P633
CHEN SYJ-1996-P-SOC-PHOTO-OPT-INS-V2710-P103
CHEN SYJ-1997-P-SPIE-MED-IM-1997-I-V3034-P25
CHEN SYJ-1998-WNATS-NEW-CARDIOVASC-P61
CHERIET F-1994-P-SOC-PHOTO-OPT-INS-V2354-P279
COATRIEUX JL-1992-INT-J-CARDIAC-IMAG-V8-P1
COPPINI G-1991-MED-BIOL-ENG-COMPUT-P535
DELAERE D-1991-MED-BIOL-ENG-COMPUT-V29-P27
DUMAY ACM-1994-IEEE-T-MED-IMAGING-V13-P13
FANG JQ-1984-IEEE-T-PATTERN-ANAL-V6-P547
FENCIL LE-1990-MED-PHYS-V17-P951
FESSLER JA-1991-IEEE-T-MED-IMAGING-V10-P25
FINET G-1995-INT-J-CARDIAC-IMA-S1-V1-P53
GARREAU M-1991-IEEE-T-MED-IMAGING-V10-P122
GUGGENHEIM N-1991-PHYS-MED-BIOL-V36-P99
HAMILTON WR-1969-ELEMENTS-QUATERNIONS
HORN B-1996-ROBOT-VISION
KASS M-1988-INT-J-COMPUT-VISION-V2-P321
KEATING TJ-1975-PHOTOGRAMMETRIC-ENG-V41-P993
KIM HC-1982-IEEE-T-MED-IMAGING-V1-P152
KITAMURA K-1988-IEEE-T-MED-IMAGING-V7-P173
LIU IH-1992-OPT-ENG-V31-P2197
LONGUETHIGGINS HC-1981-NATURE-V293-P133
MARCUS ML-1991-CARDIAC-IMAGING-COMP-P24
METZ CE-1989-MED-PHYS-V16-P45
MUIJTJENS AMM-1995-IEEE-COMPUT-CARDIOL-P577
NGUYEN TV-1994-IEEE-T-MED-IMAGING-V13-P61
PARKER DL-1987-COMPUT-BIOMED-RES-V20-P166
PELLOT C-1994-IEEE-T-MED-IMAGING-V13-P48
PERVIN E-1983-P-IEEE-C-COMP-VIS-PA
PHILIP J-1991-IEEE-T-PATTERN-ANAL-V13-P61
PRAUSE GPM-1996-P-SOC-PHOTO-OPT-INS-V2709-P82
ROUGEE A-1994-INT-J-CARDIAC-IMAG-V10-P67
SAITO T-1990-IEEE-T-BIO-MED-ENG-V37-P768
SATO Y-1998-IEEE-T-MED-IMAGING-V17-P121
SEILER C-1992-CIRCULATION-V85-P1987
SITOMER J-1988-P-COMPUTERS-CARDIOLO-V87-P192
SMETS C-1990-INT-J-CARDIAC-IMAG-V5-P145
SOLZBACH U-1994-COMPUT-BIOMED-RES-V27-P178
SONKA M-1993-IEEE-T-MED-IMAGING-V12-P588
STANSFIELD SA-1986-IEEE-T-PATTERN-ANAL-V8-P188
TSAI RY-1984-IEEE-T-PATTERN-ANAL-V6-P13
WAHLE A-1995-IEEE-T-MED-IMAGING-V14-P230
WATKINS DS-1991-FUNDAMENTALS-MATRIX
WENG J-1988-P-IEEE-C-COMP-VIS-PA-P381
WENG J-1987-P-IEEE-WORKSH-COMP-V-P355
WENG JY-1993-IEEE-T-PATTERN-ANAL-V15-P864
WENG JY-1989-IEEE-T-PATTERN-ANAL-V11-P451
WEYMAN AE-1982-CROSS-SECTIONAL-ECHO
WOLLSCHLAGER H-1986-IEEE-COMPUT-CARDIOL-P185
YANAGIHARA Y-1994-INT-J-CARDIAC-IMAG-V10-P253
YEN BL-1983-COMPUT-VISION-GRAPH-V21-P21
Times Cited: 0
Source item page count: 19
Publication Date: APR
IDS No.: 333AP
29-char source abbrev: IEEE TRANS MED IMAGING
Publisher address: 345 E 47TH ST, NEW YORK, NY 10017-2394 USA



Record 2 of 6
Author(s): Haris K; Efstratiadis SN; Maglaveras N; Pappas C; Gourassas J; Louridas G
Title: Model-based morphological segmentation and labeling of coronary angiograms
Source: IEEE TRANSACTIONS ON MEDICAL IMAGING 1999, Vol 18, Iss 10, pp 1003-1015
No. cited references: 45
ISSN/ISBN: 0278-0062
Publisher: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Addresses: Maglaveras N, Aristotelian Univ Salonika, Fac Med, Lab Med Informat, Sch Med, GR-54006 Salonika, Greece
Aristotelian Univ Salonika, Fac Med, Lab Med Informat, Sch Med, GR-54006 Salonika, Greece
Technol Educ Inst Thessaloniki, Sch Technol Applicat, Dept Informat, Sindos 54101, Greece
Aristotelian Univ Salonika, Cardiol Clin, AHEPA Gen Hosp, Sch Med, GR-54006 Salonika, Greece
Author Keywords: angiography; artery tracking; artery tree labeling; coronary quantitative graph matching; mathematical morphology; segmentation
KeywordsPlus: MAXIMUM CLIQUE PROBLEM; VASCULAR NETWORKS; IMAGES; RECONSTRUCTION; WATERSHEDS; ALGORITHM; ARTERIES; TRACKING; BORDERS; TREES
Abstract: A method for extraction and labeling of the coronary arterial tree (CAT) using minimal user supervision in single-view angiograms is proposed. The CAT structural description (skeleton and borders) is produced, along with quantitative information for the artery dimensions and assignment of coded labels, based on a given coronary artery model represented by a graph. The stages of the method are: 1) CAT tracking and detection; 2) artery skeleton and border estimation; 3) feature graph creation; and iv) artery labeling by graph matching. The approximate CAT centerline and borders are extracted by recursive tracking based on circular template analysis. The accurate skeleton and borders of each CAT segment are computed, based on morphological homotopy modification and watershed transform. The approximate centerline and borders are used for constructing the artery segment enclosing area (ASEA), where the defined skeleton and border curves are considered as markers. Using the marked ASEA, an artery gradient image is constructed where all the ASEA pixels (except the skeleton ones) are assigned the gradient magnitude of the original image. The artery gradient image markers are imposed as its unique regional minima by the homotopy modification method, the watershed transform is used for extracting the artery segment borders, and the feature graph is updated. Finally, given the created feature graph and the known model graph, a graph matching algorithm assigns the appropriate labels to the extracted CAT using weighted maximal cliques on the association graph corresponding to the two given graphs. Experimental results using clinical digitized coronary angiograms are presented.
Cited references: BALLARD D-1982-COMPUTER-VISION
BESL PJ-1988-IEEE-T-PATTERN-ANAL-V10-P167
CARRAGHAN R-1990-OPER-RES-LETT-V9-P375
CHALOPIN C-1998-P-COMP-CARD-98-P761
CHEN SYJ-1997-MED-PHYS-V24-P633
COPPINI G-1993-IEEE-T-PATTERN-ANAL-V15-P156
DEFEYTER PJ-1995-QUANTITATIVE-CORONAR
DERZWET PMJ-1998-IEEE-T-MED-IMAGING-V17-P108
DETRE KM-1975-CIRCULATION-V52-P979
DODGE JT-1992-CIRCULATION-V86-P232
DODGE JT-1988-CIRCULATION-V78-P1167
DUMARY AC-1996-YB-MED-INFORMATICS-P353
EZQUERRA N-1998-IEEE-T-MED-IMAGING-V17-P429
FABER TL-1996-P-COMP-CARD-96-P333
FIGUEIREDO MAT-1995-IEEE-T-MED-IMAGING-V14-P162
FOZZARD HA-1992-HEART-CARDIOVASCULAR-V1
GARREAU M-1991-IEEE-T-MED-IMAGING-V10-P122
HALL P-1997-IEEE-T-MED-IMAGING-V16-P919
HARIS K-1998-IEEE-T-IMAGE-PROCESS-V7-P1684
HARIS K-1997-P-COMP-CARD-97-P741
HARIS K-1998-P-COMP-CARD-98-P769
HART M-1993-P-COMP-CARD-93-P93
HORAUD R-1989-IEEE-T-PATTERN-ANAL-V11-P1168
KLEIN AK-1997-IEEE-T-MED-IMAGING-V16-P468
LIU IC-1993-IEEE-T-MED-IMAGING-V12-P334
LU S-1993-P-COMPUTERS-CARDIOLO-P575
MEYER F-1990-J-VIS-COMMUN-IMAGE-R-V1-P21
NAJMAN L-1998-IEEE-T-PATTERN-ANAL-V18-P1163
NGUYEN TV-1994-IEEE-T-MED-IMAGING-V13-P61
PAPPAS TN-1988-IEEE-T-ACOUST-SPEECH-V36-P1501
PARDALOS PM-1994-J-GLOBAL-OPTIM-V4-P301
PISUPATI C-1996-P-ACM-S-COMP-GEOM-PH
ROUEN TAD-1977-CIRCULATION-V55-P324
SAITO T-1990-IEEE-T-BIO-MED-ENG-V37-P768
SERRA J-1982-IMAGE-ANAL-MATH-MORP
SMETS C-1990-INT-J-CARDIAC-IMAG-V5-P145
SONKA M-1995-IEEE-T-MED-IMAGING-V14-P151
SONKA M-1993-IEEE-T-MED-IMAGING-V12-P588
SUETENS P-1992-ACM-COMPUT-SURVEYS-V24
SUN Y-1989-IEEE-T-MED-IMAGING-V8-P78
TOM BCS-1994-IEEE-T-MED-IMAGING-V13-P450
TRAN LV-1992-IEEE-T-MED-IMAGING-V11-P517
VINCENT L-1993-IEEE-T-IMAGE-PROCESS-V2-P176
VINCENT L-1991-IEEE-T-PATTERN-ANAL-V13-P583
XIA WX-1992-IEEE-T-MED-IMAGING-V11-P153
Times Cited: 0
Source item page count: 13
Publication Date: OCT
IDS No.: 269NQ
29-char source abbrev: IEEE TRANS MED IMAGING
Publisher address: 345 E 47TH ST, NEW YORK, NY 10017-2394 USA



Record 3 of 6
Author(s): Grigorishin T; Abdel-Hamid G; Yang YH
Title: Skeletonisation: An electrostatic field-based approach
Source: PATTERN ANALYSIS AND APPLICATIONS 1998, Vol 1, Iss 3, pp 163-177
No. cited references: 44
ISSN/ISBN: 1433-7541
Publisher: SPRINGER VERLAG
Addresses: Yang YH, Univ Saskatchewan, Dept Comp Sci, Comp Vis & Graph Lab, Scene Anal & Modelling Grp, Saskatoon, SK S7N 5A9, Canada
Univ Saskatchewan, Dept Comp Sci, Comp Vis & Graph Lab, Scene Anal & Modelling Grp, Saskatoon, SK S7N 5A9, Canada
Author Keywords: corner detection; electrostatic-field; shape analysis; skeletonisation
KeywordsPlus: SHAPE REPRESENTATION; THINNING ALGORITHM; PLANAR CURVES; COMPUTATION; MODEL
Abstract: Skeleton representation of an object is a powerful shape descriptor that captures both boundary and region information of the object. The skeleton of a shape is a representation composed of idealized thin lines that preserve the connectivity or topology of the original shape. Although the literature contains a large number of skeletonisation algorithms, many open problems remain. In this paper, we present a new skeletonisation approach that relies on the Electrostatic Field Theory (EFT). Many problems associated with existing skeletonisation algorithms are solved using the proposed approach. In particular, connectivity, thinness and other desirable features of a skeleton are guaranteed. It also captures notions of corner detection, multiple scale, thinning, and skeletonisation all within one unified framework. The performance of the proposed EFT-based algorithm is studied extensively. Using the Hausdorf distance measure, the noise sensitivity of the algorithm is compared to two existing skeletonisation techniques. In addition, the experimental results also demonstrate the multiscale property of the proposed approach.
Cited references: *KROH RES INC-1994-KHOR
ABDELHAMID GH-1993-P-1993-CAN-C-EL-COMP-P767
AHUJA N-1997-IEEE-T-PATTERN-ANAL-V19-P169
ARCELLI C-1981-COMPUTER-GRAPHICS-IM-V17-P130
ARCELLI C-1989-IEEE-T-PATTERN-ANAL-V4-P411
ARCELLI C-1985-IEEE-T-PATTERN-ANAL-V7-P463
ARUMUGAM A-1993-INT-J-PATTERN-RECOGN-V7-P988
AURENHAMMER F-1991-COMPUT-SURV-V23-P345
BLUM H-1967-MODELS-PERCEPTION-SP
BRANDT JW-1992-CVGIP-IMAG-UNDERSTAN-V55-P329
DANIELSSON PE-1980-COMPUT-GRAPHICS-IMAG-V14-P227
DILL AR-1987-IEEE-T-PATTERN-ANAL-V9-P495
FULLER AJB-1973-ENG-FIELD-THEORY
GAUCH J-1992-IEEE-T-PATTERN-ANAL-V15-P753
GIARDINA CR-1988-MORPHOLOGICAL-METHOD
GRIGORISHIN T-1997-FORM-SEGMENTATION-EL
GRIGORISHIN T-1998-VISION-INTERFACE-98
GUO ZC-1992-CVGIP-IMAG-UNDERSTAN-V55-P317
HARALICK RM-1992-COMPUTER-ROBOT-VISIO
HARALICK RM-1992-PATTERN-RECOGN-LETT-V13-P5
JAISIMHA MY-1993-P-2-INT-C-DOC-AN-REC-P282
KLEIN F-1987-PATTERN-RECOGN-V3-P19
LAM L-1992-IEEE-T-PATTERN-ANAL-V14-P869
LAM L-1992-P-11-INT-C-PATT-REC-P342
LEE SW-1991-P-1-INT-C-DOC-AN-REC-P260
LEYMARIE F-1992-IEEE-T-PATTERN-ANAL-V14-P56
LEYMARIE F-1990-THESIS-MCGILL-U-MONT
MARTINEZPEREZ MP-1987-COMPUT-VISION-GRAPH-V39-P186
MAYA N-1995-PATTERN-RECOGN-V16-P147
MITTRA R-1971-ANAL-TECHNIQUES-THEO-P4
MOKHTARIAN F-1992-IEEE-T-PATTERN-ANAL-V14-P789
MOKHTARIAN F-1986-IEEE-T-PATTERN-ANAL-V8-P34
NGUYEN TV-1994-IEEE-T-MED-IMAGING-V13-P61
NUSSBAUM A-1967-FIELD-THEORY
OGNIEWICZ RL-1992-P-IEEE-C-VIS-PATT-RE-P63
PAVLIDIS T-1982-COMPUTER-GRAPHICS-IM-V20-P133
PIECH MA-1988-COMPUT-VISION-GRAPH-V42-P381
PLAMONDON R-1988-P-VIS-INT-1988-EDM-C-P70
SHAPIRO B-1981-COMPUT-GRAPHICS-IMAG-V15-P136
SHIN FY-1995-PATTERN-RECOGN-V28-P331
SHIN FYC-1992-IEEE-T-IMAGE-PROCESS-V1-P197
SILVESTER P-1967-MODERN-ELECTROMAGNET
SMITH RW-1987-PATTERN-RECOGN-V20-P7
VEGA OE-1994-CVGIP-IMAG-UNDERSTAN-V60-P285
Times Cited: 0
Source item page count: 15
IDS No.: 256CA
29-char source abbrev: PATTERN ANAL APPL
Publisher address: 175 FIFTH AVE, NEW YORK, NY 10010 USA



Record 4 of 6
Author(s): Ezquerra N; Capell S; Klein L; Duijves P
Title: Model-guided labeling of coronary structure
Source: IEEE TRANSACTIONS ON MEDICAL IMAGING 1998, Vol 17, Iss 3, pp 429-441
No. cited references: 42
ISSN/ISBN: 0278-0062
Publisher: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Addresses: Ezquerra N, Georgia Inst Technol, Coll Comp, Mail Code 0280, Atlanta, GA 30332 USA
Georgia Inst Technol, Coll Comp, Atlanta, GA 30332 USA
Emory Univ, Atlanta, GA 30322 USA
Delft Univ Technol, Delft, Netherlands
Author Keywords: angiographic imaging; dynamic programming; image labeling; image understanding; medical imaging
KeywordsPlus: ORTHOGONAL PROJECTIONS; VASCULAR NETWORKS; RECONSTRUCTION; ANGIOGRAMS; SEGMENTATION; ARTERIES; IMAGES; SYSTEM
Abstract: Assigning anatomic labels to coronary arteries in X-ray angiograms is an important task in medical imaging, motivated by the desire to standardize the assessment of coronary artery disease and to facilitate the three-dimensional (3-D) reconstruction and visualization of the coronary vasculature, However, automatic labeling poses a number of significant challenges, including the presence of noise, artifacts, competing structures, misleading visual cues, and other difficulties associated with a dynamic and inherently complex structure.

We have developed a model-guided approach that addresses these challenges and automatically labels the vascular structure in coronary angiographic images. The approach consists of two models: 1) a symbolic model, represented through a directed acyclic graph, that captures vascular tree hierarchies and branch interrelationships and 2) a generalized 3-D model that captures spatial and geometric relationships. Importantly, the approach detects ambiguities (such as vessel overlaps) that may be found in a frame of a cine sequence, and resolves these ambiguities by considering the information derived from other (unambiguous) frames in the temporal sequence, employing dynamic programming methods to match the image features found in the different (ambiguous and unambiguous) frames. This paper presents this model-guided labeling algorithm and discusses the experimental results obtained from implementing and applying the resulting labeling system to a variety of clinical images. The results indicate the feasibility of achieving robust and consistently accurate image labeling through this model-guided, temporal disambiguation method.

Cited references: BAI ZD-1989-COMPUT-VISION-GRAPH-V47-P165
BALLARD D-1982-COMPUTER-VISION
BARBA J-1988-SPIE-V974-P389
CONNERS RW-1982-6-INT-C-PATT-REC-MUN
COPPINI G-1993-IEEE-T-PATTERN-ANAL-V15-P156
CORMEN TH-1990-ALGORITHMS
DODGE JT-1992-CIRCULATION-V86-P232
DUMAY ACM-1994-INT-J-CARDIAC-IMAG-V10-P205
DUMAY ACM-1992-P-11-IAPR-C-PATT-REC-V3-P439
ELION JL-1988-COMPUT-CARDIOL-P201
GARREAU M-1991-IEEE-T-MED-IMAGING-V10-P122
GEIGER D-1993-P-IEEE-C-COMP-VIS-PA-P602
HARALICK R-1992-COMPUTER-ROBOT-VISIO-V2
HARALICK R-1992-COMPUTER-ROBOT-VISIO-V1
HOFFMANN KR-1986-SPIE-MED-14-V626-P326
HYCHE M-1992-SPIE-V1808-P52
JAIN A-1989-FUNDAMENTALS-DIGITAL
KAYIKCIOGLU T-1993-SPIE-V1898-P62
KINDELAN M-DIGITAL-IMAGE-ANAL-P285
KITAMURA K-1988-IEEE-T-MED-IMAGING-V7-P173
LIU IC-1993-IEEE-T-MED-IMAGING-V12-P334
MARR D-1984-VISION
NEKOVEI R-1990-P-ANN-INT-C-IEEE-ENG-V12-P1459
NGUYEN TV-1994-IEEE-T-MED-IMAGING-V13-P61
OBRIEN J-1994-SPIE-VISUALIZATION-B-V2359
PEIFER JW-1990-IEEE-T-BIO-MED-ENG-V37-P744
PELLOT C-1994-IEEE-T-MED-IMAGING-V13-P48
PELLOT C-1992-MED-BIOL-ENG-COMPUT-V30-P576
RONG JH-1989-SPIE-V1137
SAITO T-1990-IEEE-T-BIO-MED-ENG-V37-P768
SMETS C-1990-INT-J-CARDIAC-IMAG-V5-P145
SONKA M-1993-IEEE-T-MED-IMAGING-V12-P588
SOUMEKH M-1988-IEEE-INT-C-AC-SPEECH-P1280
STANSFIELD SA-1986-IEEE-T-PATTERN-ANAL-V8-P188
SUN Y-1994-IEEE-T-PATTERN-ANAL-V16-P241
THACKRAY BD-1993-IEEE-T-MED-IMAGING-V12-P385
TOM BCS-1994-IEEE-T-MED-IMAGING-V13-P450
TRAN LV-1992-IEEE-T-MED-IMAGING-V11-P517
TSUJI S-1981-P-7-IJCAI-VANC-AUG-P710
VANDENELSEN PA-1993-IEEE-ENG-MED-BIO-MAR-P26
WINSTON PH-1984-ARTIFICIAL-INTELLIGE
YANAGIHARA Y-1994-INT-J-CARDIAC-IMAG-V10-P253
Times Cited: 2
Source item page count: 13
Publication Date: JUN
IDS No.: 115GZ
29-char source abbrev: IEEE TRANS MED IMAGING
Publisher address: 345 E 47TH ST, NEW YORK, NY 10017-2394 USA



Record 5 of 6
Author(s): Esthappan J; Harauchi H; Hoffmann KR
Title: Evaluation of imaging geometries calculated from biplane images
Source: MEDICAL PHYSICS 1998, Vol 25, Iss 6, pp 965-975
No. cited references: 32
ISSN/ISBN: 0094-2405
Publisher: AMER INST PHYSICS
Addresses: Esthappan J, Univ Chicago, Dept Radiol, Kurt Rossmann Labs Radiol Image Res, MC 2026,5841 S Maryland Ave, Chicago, IL 60637 USA
Univ Chicago, Dept Radiol, Kurt Rossmann Labs Radiol Image Res, Chicago, IL 60637 USA
Osaka Univ, Fac Med, Sch Allied Hlth Sci, Osaka 5650871, Japan
Author Keywords: 3D reconstruction; biplane; imaging geometry
KeywordsPlus: STEREOSCOPIC DSA SYSTEM; 3-DIMENSIONAL STRUCTURE; VIEWS; RECONSTRUCTION; ANGIOGRAPHY; MOTION
Abstract: A technique is developed that will calculate accurate and reliable imaging geometries and three-dimensional (3D) positions from biplane images of a calibration phantom. The calculated data provided by our technique will facilitate accurate 3D analysis in various clinical applications. Biplane images of a Lucite cube containing lead beads 1 mm in diameter were acquired. After identifying corresponding beads in both images and calculating their image positions, the 3D positions of the beads relative to each focal spot were determined. From these data, the transformation relating the 3D configurations were calculated to give the imaging geometry relating the biplane views. The 3D positions of objects were determined from the biplane images along with the corresponding imaging geometries. In addition, methods are developed to evaluate the quality of the calculated results on a case-by-case basis in the clinical setting. Methods are presented for evaluating the reproducibility of the calculated geometries and 3D positions, the accuracy of calculated object sizes, and the effects of errors due to time jitter, variation in user-indication, centering, and distortions on the calculated geometries and 3D reconstructions. The precision of the translation vectors and rotation matrices of the calculated geometries were within 1% and 1 degrees, respectively, in phantom studies, with estimated accuracies of approximately 0.5% and 0.4 degrees, respectively, in simulation studies. The precisions of the absolute 3D positions and orientations of the calculated 3D reconstructions were approximately 2 mm and 0.5 degrees, respectively, in phantom studies, with estimated accuracies of approximately 1.5 mm and 0.4 degrees, respectively, in simulation studies. This technique will provide accurate and precise imaging geometries as well as 3D positions from biplane images, thereby facilitating 3D analysis in various clinical applications. We believe that the study presented here is unique in that it represents the first steps toward understanding and evaluating the reliability of these 3D calculations in the clinical situation. (C) 1998 American Association of Physicists in Medicine. [S0094-2405(98)01606-X].
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CHEN SYJ-1997-MED-PHYS-V24-P633
CHEN SYJ-1997-P-SOC-PHOTO-OPT-1&2-V3034-P358
CHEN SYJ-1996-P-SOC-PHOTO-OPT-INS-V2710-P103
CHERIET F-1996-IEEE-COMPUTERS-CARDI-P409
DUMAY ACM-1994-IEEE-T-MED-IMAGING-V13-P13
FENCIL LE-1988-INVEST-RADIOL-V23-P33
FENCIL LE-1990-MED-PHYS-V17-P951
FENCIL LE-1989-PHYS-MED-BIOL-V34-P659
HARRIGAN T-1996-J-AM-COLL-CARDIOL-V27-PA345
HOFFMANN KR-1996-IEEE-COMPUTERS-CARDI-P113
HOFFMANN KR-1997-MED-PHYS-V24-P555
HOFFMANN KR-1997-MED-PHYS-V24-P1854
HOFFMANN KR-1995-MED-PHYS-V22-P1219
HOFFMANN KR-1996-P-SOC-PHOTO-OPT-INS-V2710-P462
HOFFMANN KR-1996-P-SOC-PHOTO-OPT-INS-V2708-P371
KASSAEE A-1994-MED-PHYS-V21-P643
KELLER PJ-1989-RADIOLOGY-V173-P527
LI S-1996-MED-PHYS-V23-P921
MACKAY SA-1982-COMPUT-BIOMED-RES-V15-P455
METZ CE-1989-MED-PHYS-V16-P45
MOL CR-1984-124-IBM-UKSC
NAPEL S-1992-RADIOLOGY-V185-P607
NGUYEN TV-1994-IEEE-T-MED-IMAGING-V13-P61
ROUGEE A-1993-P-SPIE-MED-IMAGING-V1897-P161
SCHONEMANN P-1966-PSYCHOMETRIKA-V31-P1
SCHONEMANN PH-1970-PSYCHOMETRIKA-V35-P245
SCHREINER S-1997-P-SOC-PHOTO-OPT-INS-V3031-P160
TOWLE VL-1995-ELECTROEN-CLIN-NEURO-V94-P221
WAHLE A-18-ANN-INT-C-IEEE-EN
WAHLE A-1995-COMPUTER-ASSISTED-RA-P208
WAHLE A-1995-IEEE-T-MED-IMAGING-V14-P230
Times Cited: 1
Source item page count: 11
Publication Date: JUN
IDS No.: ZV222
29-char source abbrev: MED PHYS
Publisher address: CIRCULATION FULFILLMENT DIV, 500 SUNNYSIDE BLVD, WOODBURY, NY 11797-2999 USA



Record 6 of 6
Author(s): Hall P; Ngan M; Andreae P
Title: Reconstruction of vascular networks using three-dimensional models
Source: IEEE TRANSACTIONS ON MEDICAL IMAGING 1997, Vol 16, Iss 6, pp 919-929
No. cited references: 30
ISSN/ISBN: 0278-0062
Publisher: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Addresses: Hall P, Univ Wales, Dept Comp Sci, POB 916, Cardiff CF2 3XF, S Glam, Wales
Univ Wales, Dept Comp Sci, Cardiff CF2 3XF, S Glam, Wales
Victoria Univ Wellington, Dept Comp Sci, Wellington, New Zealand
Author Keywords: cerebral vasculature; DSA; reconstruction; representation
KeywordsPlus: 3-D RECONSTRUCTION; ANGIOGRAMS; KNOWLEDGE; SYSTEM; TREES
Abstract: Reconstructing vasculature in three dimensions is a challenging problem, Early approaches concentrated on coronary vasculature in X-ray images, recent work uses magnetic resonance imagery of cerebral vasculature. In both cases a priori information has been used, and often the way this is represented has proven limiting to the scope of applications supported, For example, a particular representation may be useful only for X-ray images, This paper addresses two issues: 1) representing a collection of vasculature and 2) the reconstruction of individual vasculature from images, Our representation learns the variations in branching structures and vessel shapes that occur between individuals, It supports a vascular catalogue containing three-dimensional (3-D) anatomical models. The representation is task independent; here we use it to reconstruct vasculature from images, Our algorithm has four features to which we draw attention: 1) it is not premised wholly upon X-ray images (though that is our focus here); 2) it produces several feasible solutions rather than one; 3) it can generalize from the catalogue to reconstruct instances not yet learned; 4) it exhibits polynomial time complexity, reasonable memory consumption, and is reliable, Both our representation and reconstruction algorithm are new and useful approaches, In support of these claims,,ve present results gathered from X-rays of both simulated and real vasculature.
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Times Cited: 6
Source item page count: 11
Publication Date: DEC
IDS No.: ZB313
29-char source abbrev: IEEE TRANS MED IMAGING
Publisher address: 345 E 47TH ST, NEW YORK, NY 10017-2394 USA



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